Search results
Results From The WOW.Com Content Network
The following table lists values for t distributions with ν degrees of freedom for a range of one-sided or two-sided critical regions. The first column is ν , the percentages along the top are confidence levels α , {\displaystyle \ \alpha \ ,} and the numbers in the body of the table are the t α , n − 1 {\displaystyle t_{\alpha ,n-1 ...
MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Student's t-test assumes that the sample means being compared for two populations are normally distributed, and that the populations have equal variances.Welch's t-test is designed for unequal population variances, but the assumption of normality is maintained. [1]
The Q-function is well tabulated and can be computed directly in most of the mathematical software packages such as R and those available in Python, MATLAB and Mathematica. Some values of the Q -function are given below for reference.
In image processing, lookup tables are often called LUTs (or 3DLUT), and give an output value for each of a range of index values. One common LUT, called the colormap or palette , is used to determine the colors and intensity values with which a particular image will be displayed.
Do a singular value decomposition of the power spectral density, i.e. ^ = where = [,,...,] is a unitary matrix holding the singular vectors, is the diagonal matrix holding the singular values . For an n {\displaystyle n} degree of freedom system, then pick the n {\displaystyle n} dominating peaks in the power spectral density using whichever ...
(These values have been approximated using Monte Carlo simulation in Matlab) In MATLAB's implementation, the chi-squared approximation for the JB statistic's distribution is only used for large sample sizes (> 2000). For smaller samples, it uses a table derived from Monte Carlo simulations in order to interpolate p-values. [1]
Example: To find 0.69, one would look down the rows to find 0.6 and then across the columns to 0.09 which would yield a probability of 0.25490 for a cumulative from mean table or 0.75490 from a cumulative table. To find a negative value such as -0.83, one could use a cumulative table for negative z-values [3] which yield a probability of 0.20327.